RHIG: R+ tree-based holistic index of GML

摘要

This paper proposed RHIG: R+ tree-based Holistic Index of GML after sufficiently extracting character of GML spatial data and analyses of traditional spatial and XML index technology. RHIG possesses following characters: Fully utilizing structure information in schema, RHIG encode both schema document and GML document, which enable each element in GML document take relevant schema structure information and thus enhance efficiency of GML attribute querying; support simultaneously indexing and querying on both non-spatial and spatial information contained in GML document; RHIG could be stored in relational database to avoid repeatedly construct index. Experiment substantiates usability and generality of this index approach.